查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1945973

商业智慧平台市场预测至2034年：按BI平台类型、分析功能、资料处理方法、部署模式、最终用户和地区分類的全球分析

Business Intelligence Platforms Market Forecasts to 2034 - Global Analysis By BI Platform Type, Analytics Function, Data Processing Method, Deployment Model, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2026 年，全球商业智慧平台市场规模将达到 375.3 亿美元，到 2034 年将达到 983.8 亿美元，预测期内复合年增长率为 12.8%。

商业智慧(BI) 平台是一种整合软体解决方案，可协助企业收集、处理、分析和视觉化大量数据，从而做出明智的决策。这些平台整合来自多个数据来源的数据，将其转化为有意义的洞察，并透过互动式仪表板、报告和分析工具呈现。 BI 平台支援趋势分析、绩效监控和预测建模，使企业能够识别机会、优化营运并快速应对市场变化。透过提供即时、准确且可操作的洞察，企业可以提高效率、推动策略规划，并在当今数据主导的商业环境中保持竞争优势。

对数据驱动决策的需求日益增长

企业越来越依赖分析技术来支援策略规划、客户参与和营运效率。商业智慧 (BI) 工具使企业能够从原始资料中提取可执行的洞察。人工智慧 (AI)、物联网 (IoT) 和云端应用的日益普及，进一步凸显了对高阶 BI 解决方案的需求。企业优先考虑能够提供即时洞察并实现跨部门数据存取民主化的平台。因此，对数据驱动决策的需求成为市场成长的关键驱动力。

安装和维修成本高昂

部署企业级商业智慧 (BI) 平台需要在软体、整合和专业人员方面进行大量投资。中小企业往往难以拨出预算来购买全面的 BI 解决方案。持续的升级、监控和合规营运成本也加剧了财务压力。与旧有系统的整合进一步增加了复杂性和成本。因此，高成本成为市场扩张的主要限制因素。

透过整合人工智慧和分析能力实现成长

人工智慧透过提供预测分析、异常检测和自动化报告，增强了商业智慧 (BI) 的功能。智慧分析减少了人工操作，并提高了分散式资料生态系统的准确性。企业正在利用人工智慧驱动的 BI 平台来更快、更有效率地做出决策。机器学习和自然语言处理的日益普及，推动了对人工智慧 BI 解决方案的需求。因此，人工智慧与分析的融合，将成为创新与成长的催化剂。

BI供应商之间的竞争非常激烈

商业智慧平台正日益商品化，许多全球和区域性厂商提供的功能大同小异。价格战和激进的行销策略正在挤压利润空间。技术的快速创新迫使企业不断升级其产品。小规模的供应商难以与主导企业合约的知名品牌竞争。总而言之，竞争仍然是企业持续成长的主要威胁。

新冠疫情的影响：

新冠疫情加速了数位化转型，并推动了对商业智慧（BI）平台的需求。远距办公、电子商务和线上协作产生了前所未有的数据量。企业优先考虑BI解决方案，以确保在疫情期间的业务连续性和韧性。然而，某些产业的预算限制在一定程度上延缓了大规模应用。随着企业寻求柔软性和扩充性，基于云端的BI解决方案获得了广泛关注。总而言之，新冠疫情既是BI实践的颠覆者，也是其创新的催化剂。

预计在预测期内，说明分析细分市场将占据最大的市场份额。

由于说明分析的广泛应用，预计在预测期内，它将占据最大的市场份额。说明分析提供历史洞察和趋势分析，是商业智慧 (BI) 策略的基础。企业依靠说明分析来了解过去的业绩，并辅助合规主导报告。对仪錶板和视觉化工具日益增长的需求正在推动各行业采用描述性分析。基于云端的说明分析平台进一步增强了其可扩展性和可访问性。因此，说明分析作为最大的细分市场占据主导地位。

预计在预测期内，流处理领域将实现最高的复合年增长率。

由于对即时洞察的需求不断增长，预计流处理领域在预测期内将以最高速度增长。流处理能够对产生的数据进行分析，从而为关键任务型应用提供支援。物联网、5G 和边缘运算的日益普及推动了对流分析的依赖性不断增强。人工智慧驱动的平台增强了即时环境下的预测建模和异常检测能力。企业正在加大对流处理的投资，以改善客户体验和营运效率。因此，流处理正在成为市场中成长最快的领域。

占比最大的地区：

预计北美将在预测期内占据最大的市场份额，这主要得益于该地区汇集了众多主流商业智慧 (BI) 供应商和超大规模营运商。亚马逊云端服务 (AWS)、微软、谷歌和 IBM 等公司的入驻正推动着对 BI 平台的密集投资。企业正优先采用 BI 以满足严格的合规性和性能要求。对医疗保健、金融和政府部门的强劲需求正在推动市场成长。该地区受益于高网路普及率和广泛的数位转型措施。对人工智慧赋能的 BI 的投资以及与技术提供者的合作正在进一步巩固其市场领先地位。

预计年复合成长率最高的地区：

在预测期内，亚太地区预计将成为复合年增长率最高的地区，这主要得益于爆炸性的数位化成长和不断改进的法规结构。网路普及率的提高和行动优先经济模式的兴起正在推动超大规模和企业级数据的扩张。中国、印度和东南亚各国政府正在大力投资数位基础设施和合规标准。 5G和物联网应用的快速普及也增加了企业对商业智慧（BI）平台的依赖。政府对数位转型的补贴和激励措施正在加速企业和Start-Ups采用这些措施。新兴中小企业也为经济高效的BI解决方案的需求成长做出了显着贡献。

免费客製化服务：

购买此报告的客户可以选择以下免费自订选项之一：

  • 公司概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算和预测以及复合年增长率（註：可行性需确认）。
  • 竞争标竿分析
    • 根据主要参与者的产品系列、地理覆盖范围和策略联盟进行基准分析

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 成长要素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章 研究框架

  • 调查目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 成长机会与投资热点
  • 产业威胁与风险评估
  • 科技与创新趋势
  • 新兴和高成长市场
  • 监管和政策环境
  • 新冠疫情影响及復苏展望

第四章 竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争对手之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

5. 全球商业智慧平台市场（依BI平台类型划分）

  • 企业级 BI 平台
  • 云端BI平台
  • 嵌入式BI 平台
  • 行动 BI 平台
  • 即时商业智慧平台
  • 开放原始码BI 平台
  • 其他BI平台类型

6. 全球商业智慧平台市场（依分析功能划分）

  • 说明分析
  • 诊断分析
  • 预测分析
  • 预测分析
  • 作战情报
  • 其他分析功能

7. 依数据处理方法分類的全球商业智慧平台市场

  • 记忆体内处理
  • 基于查询的处理
  • 串流处理
  • 批量处理
  • 混合处理
  • 其他资料处理方法

8. 全球商业智慧平台市场依部署模式划分

  • 本地部署
  • 公共云端部署
  • 私有云端部署
  • 其他部署模式

9. 全球商业智慧平台市场（依最终用户划分）

  • BFSI
  • 零售与电子商务
  • 医疗保健和生命科学
  • 资讯科技/通讯
  • 製造业
  • 政府/公共部门
  • 其他最终用户

第十章 全球商业智慧平台市场（按地区划分）

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 亚太其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美洲
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 战略市场情报

  • 工业价值网络和供应链评估
  • 空白空间与机会地图
  • 产品演进与市场生命週期分析
  • 评估通路、经销商和打入市场策略

第十二章：产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 产能扩张与投资
  • 其他策略倡议

第十三章：公司简介

  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • QlikTech International AB (Qlik)
  • Tableau Software, LLC (Salesforce Inc.)
  • TIBCO Software Inc.
  • MicroStrategy Incorporated
  • Domo, Inc.
  • Sisense Inc.
  • ThoughtSpot, Inc.
  • Zoho Corporation Pvt. Ltd.
  • Looker Data Sciences, Inc.
  • Amazon Web Services, Inc.
Product Code: SMRC33736

According to Stratistics MRC, the Global Business Intelligence Platforms Market is accounted for $37.53 billion in 2026 and is expected to reach $98.38 billion by 2034 growing at a CAGR of 12.8% during the forecast period. Business Intelligence (BI) Platforms are integrated software solutions that enable organizations to collect, process, analyze, and visualize vast amounts of data to support informed decision-making. These platforms consolidate data from multiple sources, transform it into meaningful insights, and present it through interactive dashboards, reports, and analytics tools. BI platforms facilitate trend analysis, performance monitoring, and predictive modeling, empowering businesses to identify opportunities, optimize operations, and respond quickly to market changes. By providing real-time, accurate, and actionable intelligence, they help organizations enhance efficiency, drive strategic planning, and maintain a competitive advantage in today's data-driven business environment.

Market Dynamics:

Driver:

Rising demand for data-driven decisions

Enterprises increasingly rely on analytics to support strategic planning, customer engagement, and operational efficiency. BI tools empower organizations to transform raw data into actionable insights. Rising adoption of AI, IoT, and cloud applications amplifies the need for advanced BI solutions. Organizations prioritize platforms that enable real-time insights and democratize data access across departments. Consequently, demand for data-driven decision-making acts as a primary driver for market growth.

Restraint:

High implementation and maintenance costs

Deploying enterprise-scale BI platforms requires substantial investment in software, integration, and skilled personnel. Smaller enterprises struggle to allocate budgets for comprehensive BI solutions. Ongoing operational costs for upgrades, monitoring, and compliance add financial pressure. Integration with legacy systems further increases complexity and expenses. As a result, high costs act as a key restraint on market expansion.

Opportunity:

Growth in AI and analytics integration

AI enhances BI capabilities by providing predictive insights, anomaly detection, and automated reporting. Intelligent analytics reduce manual effort and improve accuracy across distributed data ecosystems. Enterprises leverage AI-driven BI platforms to accelerate decision-making and improve efficiency. Rising adoption of machine learning and natural language processing amplifies demand for AI-enabled BI solutions. Therefore, AI and analytics integration acts as a catalyst for innovation and growth.

Threat:

Intense competition among BI vendors

Numerous global and regional players offer overlapping features, leading to commoditization of BI platforms. Price wars and aggressive marketing strategies pressure margins. Rapid technological innovation forces companies to continuously upgrade offerings. Smaller vendors struggle to compete with established brands that dominate enterprise contracts. Collectively, competitive intensity remains a major threat to sustained growth.

Covid-19 Impact:

The Covid-19 pandemic accelerated digital adoption, boosting demand for BI platforms. Remote work, e-commerce, and online collaboration drove unprecedented data volumes. Enterprises prioritized BI solutions to ensure continuity and resilience during disruptions. However, budget constraints in certain industries delayed large-scale deployments. Cloud-based BI gained traction as organizations sought flexibility and scalability. Overall, Covid-19 acted as both a disruptor and a catalyst for innovation in BI practices.

The descriptive analytics segment is expected to be the largest during the forecast period

The descriptive analytics segment is expected to account for the largest market share during the forecast period due to its widespread adoption. Descriptive analytics provides historical insights and trend analysis, forming the foundation of BI strategies. Enterprises rely on descriptive analytics to understand past performance and support compliance-driven reporting. Rising demand for dashboards and visualization tools intensifies adoption across industries. Cloud-based descriptive analytics platforms further enhance scalability and accessibility. Consequently, descriptive analytics dominates the market as the largest segment.

The stream processing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the stream processing segment is predicted to witness the highest growth rate owing to rising demand for real-time insights. Stream processing enables organizations to analyze data as it is generated, supporting mission-critical applications. Rising adoption of IoT, 5G, and edge computing amplifies reliance on streaming analytics. AI-driven platforms enhance predictive modeling and anomaly detection in real-time environments. Enterprises increasingly invest in stream processing to improve customer experiences and operational efficiency. Therefore, stream processing emerges as the fastest-growing segment in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share as it hosts major BI vendors and hyperscale operators. The presence of Amazon Web Services, Microsoft, Google, and IBM drives concentrated investment in BI platforms. Enterprises prioritize BI adoption to meet stringent compliance and performance requirements. Strong adoption across healthcare, finance, and government sectors reinforces demand. The region benefits from high internet penetration and widespread digital transformation initiatives. Investments in AI-enabled BI and partnerships with technology providers further strengthen market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to explosive digital growth and evolving regulatory frameworks. Rising internet penetration and mobile-first economies fuel hyperscale and enterprise data expansion. Governments in China, India, and Southeast Asia are investing heavily in digital infrastructure and compliance standards. Rapid adoption of 5G and IoT applications intensifies reliance on BI platforms. Subsidies and incentives for digital transformation accelerate adoption across enterprises and startups. Emerging SMEs also contribute significantly to rising demand for cost-effective BI solutions.

Key players in the market

Some of the key players in Business Intelligence Platforms Market include Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., QlikTech International AB (Qlik), Tableau Software, LLC (Salesforce Inc.), TIBCO Software Inc., MicroStrategy Incorporated, Domo, Inc., Sisense Inc., ThoughtSpot, Inc., Zoho Corporation Pvt. Ltd., Looker Data Sciences, Inc. and Amazon Web Services, Inc.

Key Developments:

In May 2024, IBM announced the general availability of granite model series on watsonx, a family of generative AI models for business, and watsonx.governance kits to help clients manage regulatory compliance and risk. This expanded the platform's core capabilities for trusted AI deployment and automated governance.

In November 2023, Microsoft Fabric became generally available, representing a flagship end-to-end analytics platform unifying data engineering, data warehousing, data science, and BI (Power BI) under a single SaaS offering. Its core innovation is the OneLake data lake and unified compute engine, simplifying the entire data analytics pipeline.

BI Platform Types Covered:

  • Enterprise BI Platforms
  • Cloud BI Platforms
  • Embedded BI Platforms
  • Mobile BI Platforms
  • Real-Time BI Platforms
  • Open-Source BI Platforms
  • Other BI Platform Types

Analytics Functions Covered:

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Operational Intelligence
  • Other Analytics Functions

Data Processing Methods Covered:

  • In-Memory Processing
  • Query-Based Processing
  • Stream Processing
  • Batch Processing
  • Hybrid Processing
  • Other Data Processing Methods

Deployment Models Covered:

  • On-Premises Deployment
  • Public Cloud Deployment
  • Private Cloud Deployment
  • Other Deployment Models

End Users Covered:

  • BFSI
  • Retail & E-Commerce
  • Healthcare & Life Sciences
  • IT & Telecom
  • Manufacturing
  • Government & Public Sector
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Qatar
    • Israel
    • Rest of Middle East
    • Africa
    • South Africa
    • Egypt
    • Morocco
    • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 3032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Business Intelligence Platforms Market, By BI Platform Type

  • 5.1 Enterprise BI Platforms
  • 5.2 Cloud BI Platforms
  • 5.3 Embedded BI Platforms
  • 5.4 Mobile BI Platforms
  • 5.5 Real-Time BI Platforms
  • 5.6 Open-Source BI Platforms
  • 5.7 Other BI Platform Types

6 Global Business Intelligence Platforms Market, By Analytics Function

  • 6.1 Descriptive Analytics
  • 6.2 Diagnostic Analytics
  • 6.3 Predictive Analytics
  • 6.4 Prescriptive Analytics
  • 6.5 Operational Intelligence
  • 6.6 Other Analytics Functions

7 Global Business Intelligence Platforms Market, By Data Processing Method

  • 7.1 In-Memory Processing
  • 7.2 Query-Based Processing
  • 7.3 Stream Processing
  • 7.4 Batch Processing
  • 7.5 Hybrid Processing
  • 7.6 Other Data Processing Methods

8 Global Business Intelligence Platforms Market, By Deployment Model

  • 8.1 On-Premises Deployment
  • 8.2 Public Cloud Deployment
  • 8.3 Private Cloud Deployment
  • 8.4 Other Deployment Models

9 Global Business Intelligence Platforms Market, By End User

  • 9.1 BFSI
  • 9.2 Retail & E-Commerce
  • 9.3 Healthcare & Life Sciences
  • 9.4 IT & Telecom
  • 9.5 Manufacturing
  • 9.6 Government & Public Sector
  • 9.7 Other End Users

10 Global Business Intelligence Platforms Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.10 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.10 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Microsoft Corporation
  • 13.2 IBM Corporation
  • 13.3 Oracle Corporation
  • 13.4 SAP SE
  • 13.5 SAS Institute Inc.
  • 13.6 QlikTech International AB (Qlik)
  • 13.7 Tableau Software, LLC (Salesforce Inc.)
  • 13.8 TIBCO Software Inc.
  • 13.9 MicroStrategy Incorporated
  • 13.10 Domo, Inc.
  • 13.11 Sisense Inc.
  • 13.12 ThoughtSpot, Inc.
  • 13.13 Zoho Corporation Pvt. Ltd.
  • 13.14 Looker Data Sciences, Inc.
  • 13.15 Amazon Web Services, Inc.

List of Tables

  • Table 1 Global Business Intelligence Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Business Intelligence Platforms Market, By BI Platform Type (2023-2034) ($MN)
  • Table 3 Global Business Intelligence Platforms Market, By Enterprise BI Platforms (2023-2034) ($MN)
  • Table 4 Global Business Intelligence Platforms Market, By Cloud BI Platforms (2023-2034) ($MN)
  • Table 5 Global Business Intelligence Platforms Market, By Embedded BI Platforms (2023-2034) ($MN)
  • Table 6 Global Business Intelligence Platforms Market, By Mobile BI Platforms (2023-2034) ($MN)
  • Table 7 Global Business Intelligence Platforms Market, By Real-Time BI Platforms (2023-2034) ($MN)
  • Table 8 Global Business Intelligence Platforms Market, By Open-Source BI Platforms (2023-2034) ($MN)
  • Table 9 Global Business Intelligence Platforms Market, By Other BI Platform Types (2023-2034) ($MN)
  • Table 10 Global Business Intelligence Platforms Market, By Analytics Function (2023-2034) ($MN)
  • Table 11 Global Business Intelligence Platforms Market, By Descriptive Analytics (2023-2034) ($MN)
  • Table 12 Global Business Intelligence Platforms Market, By Diagnostic Analytics (2023-2034) ($MN)
  • Table 13 Global Business Intelligence Platforms Market, By Predictive Analytics (2023-2034) ($MN)
  • Table 14 Global Business Intelligence Platforms Market, By Prescriptive Analytics (2023-2034) ($MN)
  • Table 15 Global Business Intelligence Platforms Market, By Operational Intelligence (2023-2034) ($MN)
  • Table 16 Global Business Intelligence Platforms Market, By Other Analytics Functions (2023-2034) ($MN)
  • Table 17 Global Business Intelligence Platforms Market, By Data Processing Method (2023-2034) ($MN)
  • Table 18 Global Business Intelligence Platforms Market, By In-Memory Processing (2023-2034) ($MN)
  • Table 19 Global Business Intelligence Platforms Market, By Query-Based Processing (2023-2034) ($MN)
  • Table 20 Global Business Intelligence Platforms Market, By Stream Processing (2023-2034) ($MN)
  • Table 21 Global Business Intelligence Platforms Market, By Batch Processing (2023-2034) ($MN)
  • Table 22 Global Business Intelligence Platforms Market, By Hybrid Processing (2023-2034) ($MN)
  • Table 23 Global Business Intelligence Platforms Market, By Other Data Processing Methods (2023-2034) ($MN)
  • Table 24 Global Business Intelligence Platforms Market, By Deployment Model (2023-2034) ($MN)
  • Table 25 Global Business Intelligence Platforms Market, By On-Premises Deployment (2023-2034) ($MN)
  • Table 26 Global Business Intelligence Platforms Market, By Public Cloud Deployment (2023-2034) ($MN)
  • Table 27 Global Business Intelligence Platforms Market, By Private Cloud Deployment (2023-2034) ($MN)
  • Table 28 Global Business Intelligence Platforms Market, By Other Deployment Models (2023-2034) ($MN)
  • Table 29 Global Business Intelligence Platforms Market, By End User (2023-2034) ($MN)
  • Table 30 Global Business Intelligence Platforms Market, By BFSI (2023-2034) ($MN)
  • Table 31 Global Business Intelligence Platforms Market, By Retail & E-Commerce (2023-2034) ($MN)
  • Table 32 Global Business Intelligence Platforms Market, By Healthcare & Life Sciences (2023-2034) ($MN)
  • Table 33 Global Business Intelligence Platforms Market, By IT & Telecom (2023-2034) ($MN)
  • Table 34 Global Business Intelligence Platforms Market, By Manufacturing (2023-2034) ($MN)
  • Table 35 Global Business Intelligence Platforms Market, By Government & Public Sector (2023-2034) ($MN)
  • Table 36 Global Business Intelligence Platforms Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.